Zhe Cao
Zhe Cao
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Cited by
Cited by
Realtime multi-person 2d pose estimation using part affinity fields
Z Cao, T Simon, SE Wei, Y Sheikh
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Long-term human motion prediction with scene context
Z Cao, H Gao, K Mangalam, QZ Cai, M Vo, J Malik
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Reconstructing hand-object interactions in the wild
Z Cao, I Radosavovic, A Kanazawa, J Malik
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Real-time scalable 6DOF pose estimation for textureless objects
Z Cao, Y Sheikh, NK Banerjee
2016 IEEE International conference on Robotics and Automation (ICRA), 2441-2448, 2016
Openpose: realtime multi-person 2d pose estimation using part affinity fields
Z Cao, G Hidalgo, T Simon, SE Wei, Y Sheikh
arXiv preprint arXiv:1812.08008, 2019
Drivable volumetric avatars using texel-aligned features
E Remelli, T Bagautdinov, S Saito, C Wu, T Simon, SE Wei, K Guo, Z Cao, ...
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
OpenPose library
G Hidalgo, Z Cao, T Simon, SE Wei, H Joo, Y Sheikh
CMU-Perceptual-Computing-Lab/openpose, 2020
Learning independent object motion from unlabelled stereoscopic videos
Z Cao, A Kar, C Hane, J Malik
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Systems and methods for articulated pose estimation
Z Cao, Q Zhu, Y Sheikh, SE Chelian
US Patent 10,535,155, 2020
Drivable avatar clothing: Faithful full-body telepresence with dynamic clothing driven by sparse rgb-d input
D Xiang, F Prada, Z Cao, K Guo, C Wu, J Hodgins, T Bagautdinov
SIGGRAPH Asia 2023 Conference Papers, 1-11, 2023
Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement
J Wang, Z Cao, D Luvizon, L Liu, K Sarkar, D Tang, T Beeler, C Theobalt
arXiv preprint arXiv:2311.16495, 2023
Perceiving 3D Humans and Objects in Motion
Z Cao
UC Berkeley, 2021
Systems and methods for estimating pose of textureless objects
Z Cao, N Banerjee, Y Sheikh
US Patent 9,892,543, 2018
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